Mohamed Medhat Gaber

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Shonali KrishnaswamyMonash UniversityVerified email at i2r.a-star.edu.sg
Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)Verified email at deakin.edu.au
Mohammed AbdelsameaBirmingham City UniversityVerified email at bcu.ac.uk
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Dr. Frederic StahlGerman Research Center for Artificial Intelligence (Germany), University of Reading (United Kingdom)Verified email at dfki.de
João Bártolo GomesI2R - Institute for Infocomm Research - A*StarVerified email at i2r.a-star.edu.sg
Mariam Adedoyin-OloweBirmingham City UniversityVerified email at bcu.ac.uk
Dr. Khaled FawagrehPrince Mohammad Bin Fahd UniversityVerified email at pmu.edu.sa
Zahraa S. AbdallahLecturer, Department of Engineering Mathematics, University of Bristol, UKVerified email at bristol.ac.uk
Pari Delir HaghighiMonash UniversityVerified email at monash.edu
Seng W. LokeProfessor in Computer Science, Deakin UniversityVerified email at deakin.edu.au
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Olufemi A. Omitaomu ("Femi/he/him/his")Senior R&D Staff, Oak Ridge National LaboratoryVerified email at ornl.gov
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Shadi BasurraLecturer in Computer Science, Birmingham City University, UKVerified email at bath.edu
Chrisina JayneTeesside UniversityVerified email at tees.ac.uk
R. Muhammad Atif AzadBirmingham City UniversityVerified email at bcu.ac.uk
Yevgeniya KovalchukDepartment of Computer Science, University of ReadingVerified email at reading.ac.uk
Ernestina MenasalvasUniversidad politécnica de madridVerified email at fi.UPM.es
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSUVerified email at ncsu.edu

Mohamed Medhat Gaber

Professor in Data Analytics, Birmingham City University, and Galala University

Verified email at bcu.ac.uk - Homepage

Artificial Intelligence Data Mining Data Stream Mining Machine Learning Random Forests


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005	1354	2005
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network A Abbas, MM Abdelsamea, MM Gaber Applied Intelligence 51, 854-864, 2021	818	2021
Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017	741	2017
Random forests: from early developments to recent advancements K Fawagreh, MM Gaber, E Elyan Systems Science & Control Engineering: An Open Access Journal 2 (1), 602-609, 2014	376	2014
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	336	2007
A survey of data mining techniques for social media analysis M Adedoyin-Olowe, MM Gaber, F Stahl Journal of Data Mining & Digital Humanities 2014, 2014	200*	2014
Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data mining and knowledge discovery handbook, 759-787, 2010	145*	2010
SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea Frontiers in Artificial Intelligence and Applications 255, 353-362, 2013	130	2013
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	129	2015
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	126	2012
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data Streams: models and algorithms, 39-59, 2007	124	2007
Next challenges for adaptive learning systems I Zliobaite, A Bifet, M Gaber, B Gabrys, J Gama, L Minku, K Musial ACM SIGKDD Explorations Newsletter 14 (1), 48-55, 2012	97	2012
Reasoning about context in uncertain pervasive computing environments P Delir Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich …, 2008	96	2008
A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering MM Gaber, PS Yu Proceedings of the 2006 ACM symposium on Applied computing, 649-656, 2006	87	2006
Edge machine learning: Enabling smart internet of things applications MT Yazici, S Basurra, MM Gaber Big data and cognitive computing 2 (3), 26, 2018	85	2018
A rule dynamics approach to event detection in twitter with its application to sports and politics M Adedoyin-Olowe, MM Gaber, CM Dancausa, F Stahl, JB Gomes Expert Systems with Applications 55, 351-360, 2016	85	2016
On-board mining of data streams in sensor networks M Gaber, S Krishnaswamy, A Zaslavsky Advanced methods for knowledge discovery from complex data, 307-335, 2005	79	2005
Cost-efficient mining techniques for data streams MM Gaber, S Krishnaswamy, A Zaslavsky Australasian Workshop on Data Mining and Web Intelligence: 17/12/2004 32 …, 2004	76	2004
Activity recognition with evolving data streams: A review ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018	72	2018
Detrac: Transfer learning of class decomposed medical images in convolutional neural networks A Abbas, MM Abdelsamea, MM Gaber IEEE Access 8, 74901-74913, 2020	71	2020

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